Data and code for RAFU analysis – a computational method for examining adaptive latitudinal variation of endodormancy release in extratropical trees

Data and code for the manuscript "RAFU analysis – a computational method for examining adaptive latitudinal variation of endodormancy release in extratropical trees".The study developed a computational method to predict endodormancy release (tEDR) using chilling hours (CHcrit) and accumulated growing degree days (RAFU). RAFU, the forcing accumulation above 5℃ until December, represents the risk of spring frost damage. By calculating RAFU, the study examines the relationship between these metrics and upper temperature limits (Tupp) to explore underlying climatic mechanisms and the latitudinal adaptation of endodormancy in extratropical trees.